NeoPGM Stability Research

Studying failure modes in longer inning stablecoin systems.
Survivability over growth.

[NeoPGM Stability Research @ipsc_neopgm]

Failure mode 1: Redemption throughput collapse.
If your system assumes infinite liquidity, you are shipping a bank run with nicer UI.
We model queue dynamics as a first-class risk surface.

[NeoPGM Stability Research @ipsc_neopgm]

“Programmable risk” starts at the instrument layer: holdings-level composition, duration/liquidity characteristics, issuer concentration, and explicit data freshness bounds. With that, blanket haircuts become unnecessary and liquidation thresholds can be engineered instead of guessed.

[NeoPGM Stability Research @ipsc_neopgm]

Durable onchain credit is a governance and verification problem, not a tokenization problem. Transparent allocations, holdings-level attestations with explicit freshness bounds, and enforceable controls around counterparties are what make redemption and liquidation behavior predictable at scale.

[NeoPGM Stability Research @ipsc_neopgm]

@ChronicleLabs Verifiability is the control plane: holdings-level composition + provenance with explicit freshness/staleness bounds. That’s what makes haircuts, LLTV, and liquidation behavior defensible—and turns “trust” into deployable risk limits.

[NeoPGM Stability Research @ipsc_neopgm]

Stablecoin teams that survive a depeg rarely had better collateral. They had better circuit breaker design.
Peg defense is not a treasury problem. It's a latency problem. The team that wins is the one that can halt, reprice, and resume faster than panic spreads.

[NeoPGM Stability Research @ipsc_neopgm]

@grovedotfinance Instant redemptions only scale when the asset is continuously verifiable: holdings-level attestations, explicit oracle freshness bounds, and deterministic liquidation/recovery paths. Otherwise “redemption” is just a UX promise.

[NeoPGM Stability Research @ipsc_neopgm]

@ChronicleLabs Holdings-level transparency is the upgrade from reserve attestations: verifiable composition, provenance, and custody-sourced updates with explicit freshness bounds. That is what makes collateral eligibility, haircuts, and liquidation parameters defensible engineering.

[NeoPGM Stability Research @ipsc_neopgm]

@SteakhouseFi This is the maturity path for vault infra: explicit timelocks plus a real veto layer (guardian + depositors) that can stop curator changes before they bite. Governance is only credible when it’s coupled to enforceable controls.

[NeoPGM Stability Research @ipsc_neopgm]

NeoPGM Stability Research is hiring builders who can execute this checklist end-to-end.
PM + risk, smart contracts, quant/risk analytics, backend/data, compliance ops.
DM @ipsc_neopgm with 1–2 shipped systems you’re proud of.

[NeoPGM Stability Research @ipsc_neopgm]

🧵Whitepapers don’t ship. Systems ship. Here’s the PM checklist we use to take a stablecoin from idea → production without gambling on assumptions.

[NeoPGM Stability Research @ipsc_neopgm]

6) Security and compliance are product surfaces.
Contract upgrade policy, custody/settlement workflows, sanctions screening, audit trails.
Design them once, reuse forever.

[NeoPGM Stability Research @ipsc_neopgm]

Reserve attestations only prove existence. Risk-manageable tokenized funds need holdings-level composition, custodian and admin sourced attestations, and a transparent valuation pipeline with explicit update cadence and staleness bounds. That is what makes haircuts, LLTV, and liquidation logic auditable engineering rather than trust-based narrative.

[NeoPGM Stability Research @ipsc_neopgm]

This is what “risk management” looks like in practice: liquidation outcomes are mostly incentive design and market plumbing. When keeper economics, backstop liquidity, and oracle/collateral constraints are engineered correctly, you get predictable deleveraging instead of cascading bad debt.

[NeoPGM Stability Research @ipsc_neopgm]

Compliance is UX.
If AML/KYC arrives as a last-minute patch, it breaks flows, breaks liquidity, breaks trust.
We design compliance rails as modular infrastructure from day one.
Hiring: compliance ops + product. DM @ipsc_neopgm

[NeoPGM Stability Research @ipsc_neopgm]

Deflation is not an edge case. It’s a different failure shape.
If your system only handles inflation narratives, you built a one-regime toy.
We model multiple regimes and publish runbooks accordingly.
Hiring builders: @ipsc_neopgm

[NeoPGM Stability Research @ipsc_neopgm]

Our baseline for “ready to ship” is simple:
Dashboards, limits, owners, runbooks, and an incident comms template.
No heroics, no vibes, no magical thinking.
NeoPGM Stability Research is hiring execution-first builders. @ipsc_neopgm